Statistical Genomics and Bioinformatics

Development of more advanced statistical and computational methodologies is required to keep pace with new experimental technologies in molecular biology and genetics. Challenges to be met include dealing with increased volumes of data, improving the robustness of inference to noise in the data, and enhancing the models to make them biologically more realistic.

In the menu on the right we present some examples of how we have addressed these issues in BioSS. Further details can be obtained from the contact named at the end of each example.

Research Theme Leader

Paolo Ribeca is Principal Researcher in Statistical Genomics & Bioinformatics

Lead contributors to the statistical genomics & bioinformatics research area.





Statistical Genomics and Bioinformatics

Process and Systems Modelling

Statistical Methodology

PhD Opportunities

Meetings & Seminars